Adds chart series @param data matrix @param series label array @param xcolumn @param colors array

getPreviousLayer @return Returns the reference to the previous layer

Returns the reference to the previous layer @return previous layer object

getPreviousLayer @return Returns the reference to the previous layer

getPreviousLayer @return Returns the reference to the previous layer

Gets the mean of an array of real numbers @param data matrix to be normalized @return mean of array

Gets the mean of an array of real numbers @param data matrix to be normalized @return mean of array

print Method to print the neural network information

print Method to print the neural network information

print Method to print the neural network information

Transposes a double matrix @param matrix to be transposed @return matrix transposed

Transposes a double matrix @param matrix to be transposed @return matrix transposed

Converts a double ArrayList to a double vector @param ArrayList to be converted @return vector converted to double[]

Converts a double ArrayList to a double vector @param ArrayList to be converted @return vector converted to double[]

Calculates reference @param data matrix

getInput @param i ith java position at the input @return Returns the ith java input

@param i ith java position at the input @return Returns the ith java input

getInput @param i ith java position at the input @return Returns the ith java input

getListOfNeurons @return Returns the whole array of neurons of this layer

Returns the whole array of neurons of this layer @return neurons array list

getListOfNeurons @return Returns the whole array of neurons of this layer

getListOfNeurons @return Returns the whole array of neurons of this layer

getOutput @return Returns the neuron's output

@return Returns the neuron's output

getOutput @return Returns the neuron's output

getOutput @return Returns the neuron's output

setInputs Feeds an array of real values to the neural network's inputs @param inputs Array of real values to be fed into the neural inputs

Feeds an array of real values to the neural network's inputs @param inputs Array of real values to be fed into the neural inputs

setInputs Feeds an array of real values to the neural network's inputs @param inputs Array of real values to be fed into the neural inputs

setInputs Feeds an array of real values to the neural network's inputs @param inputs Array of real values to be fed into the neural inputs

setNextLayer This method links this layer to a next layer in the Neural Network @param layer Next Neural Layer @see InputLayer

This method links this layer to a next layer in the Neural Network @param layer Next Neural Layer @see InputLayer

setNextLayer This method links this layer to a next layer in the Neural Network @param layer Next Neural Layer @see InputLayer

Denormalizes data matrix @param data matrix of raw real numbers @param data matrix of normalized real numbers @return denormalized matrix

getInput @param i ith java position at the input @return Returns the ith java input

getListOfNeurons @return Returns the whole array of neurons of this layer

Gets the minimum value of an array of real numbers @param data matrix of real numbers @return

getOutput @return Returns the neuron's output

setInputs Feeds an array of real values to the neural network's inputs @param inputs Array of real values to be fed into the neural inputs

Gets the standard deviation value of an array of real numbers @param array with values @return standard deviation of array

Gets the standard deviation value of an array of real numbers @param array with values @return standard deviation of array

Loads CSV file into Java matrix @return Java matrix @throws IOException